/EFFICIENT-TRANSFORM

Demo source code for Learning Fast Sparsifying Transforms

Primary LanguageMatlabMIT LicenseMIT

Cristian Rusu,
November, 2016

--------------------------------

This package contains proof-of-concept source code for the results presented in:
1. Fast Orthonormal Sparsifying Transforms Based on Householder Reflectors, C. Rusu, N. Gonzalez-Prelcic and R. Heath
2. Learning Fast Sparsifying Transforms, C. Rusu and J. Thompson

This software is released under the MIT license.
Tested on Matlab R2012a.
For problems, bug reports, comments and other contact C. Rusu.

--------------------------------

Starting points:

testDLA.m - Tests the H-DLA, G-DLA and H-DLA algorithms on image data.

--------------------------------

OMPToolbox

This package uses (and contains) the OMP-Box v10 
(http://www.cs.technion.ac.il/~ronrubin/software.html).
All credits and thanks go to the creator of OMP-Box, Ron Rubinstein.
To ease the use of this package, the toolbox comes pre-compiled on Win32 or Win64. Recompile if needed.

Visit the home webpage of the toolbox to get the lastest version or if problems.

For reference see:
R. Rubinstein, M. Zibulevsky and M. Elad, Efficient Implementation of the K-SVD Algorithm 
using Batch Orthogonal Matching Pursuit - Technical Report, 2008.